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PageRank
Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems
This paper proposes a novel system, named GIED, which is a method to automatically analyze the cascading effect of availability issues in online systems. GIED enables the extraction of graph-based issue representations. This representation includes both the issue symptoms and affected service attributes. A neural network is used to perform incident detection. Finally, the PageRank algorithm is used to locate the root cause of the incident.
Zilong He
,
Pengfei Chen
,
Yu Luo
,
Qiuyu Yan
,
Hongyang Chen
,
Guangba Yu
,
Fangyuan Li
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